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因果关系的非对称

【英语】 因果关系的非对称 2012-05-27

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书名: Causal Asymmetries (Cambridge Studies in Probability, Induction and Decision Theory)
作者: Daniel M. Hausman (Author)
出版社: Cambridge University Press (July 28, 1998)
语言: English
ISBN-10: 0521622891
ISBN-13: 978-0521622899
电子书格式:DJVU, 推荐查看工具:WinDjView

Book Description
Causation is asymmetrical in many different ways. Causes precede effects; explanations cite causes not effects. Agents use causes to manipulate their effects; they don't use effects to manipulate their causes. Effects of a common cause are correlated; causes of a common effect are not.This book by one of the preeminent philosophers of science writing today offers the most comprehensive account available fo causal asymmetries. It is a major book for philosophers of science that will also prove insightful to economists and statisticians.

Review
"...I can highly recommend the book to anyone working on causation...it is both broad and deep in the subjects it treats....my understanding of alternative views was certainly deepened by reading Hausman's work." -- John Collier, Philosophy in Review

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